23 citations · 48 across the 8 of their papers we have counts for
4 papers · 1 filter
Automated radiotherapy treatment planning guided by GPT-4Vision
Sheng Liu, Oscar Pastor-Serrano, Yizheng Chen +10
Objective: Radiotherapy treatment planning is a time-consuming and potentially subjective process that requires the iterative adjustment of model parameters to balance multiple con…
A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy
Oscar Pastor-Serrano, Steven Habraken, Mischa Hoogeman +5
In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. Motion models can be used to simulate motion pattern…
Sub-second photon dose prediction via transformer neural networks
Oscar Pastor-Serrano, Peng Dong, Charles Huang +2
Fast dose calculation is critical for online and real time adaptive therapy workflows. While modern physics-based dose algorithms must compromise accuracy to achieve low computatio…
Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy
Oscar Pastor-Serrano, Zoltán Perkó
Next generation online and real-time adaptive radiotherapy workflows require precise particle transport simulations in sub-second times, which is unfeasible with current analytical…